Article

Recommendations for examining and interpreting funnel plot asymmetry in meta-analyses of randomised controlled trials

School of Social and Community Medicine, University of Bristol, Bristol BS8 2PS, UK.
BMJ (online) (Impact Factor: 17.45). 01/2011; 343:d4002.
Source: PubMed
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Available from: Sue Duval, Jul 20, 2015
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    • "The first possible interpretation is that this shows publication bias. However, another possibility is that given the scalability of plate size, the variation in standard errors may represent different strength manipulations of plate size (Sterne et al. 2011). That a large change in plate size might result in a larger effect is something we will capture later by calculating the plate size elasticity of consumption. "
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    ABSTRACT: The literature on whether varying plate size has an effect on consumption is mixed and contradictory. This meta-analysis of 56 studies from 20 papers shows that varying the size of the container holding food (e.g., plate or bowl) has a substantial effect on amount self-served and/or consumed (Cohen’s d=.43). More generally, we found a doubling of plate size increased the amount self-served or amount consumed by 41%. Our analysis resolves the various contradictions of past reviews: we found that the plate size-effect had a substantial effect on amount served (d=.51), and on amount consumed when the portion was self-served (d=.70) or manipulated along with (confounded with) plate size (d=.48). However, plate size had no effect on amount consumed when the portion size was held constant (d=.03). Overall, plate size had a stronger effect when participants were unaware that they were participating in a food study (d=.76).
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    • "Since random effect models do not provide a quantitative measure of heterogeneity, we assessed study heterogeneity through visual inspection of funnel plots (Egger et al., 1997). Studies were excluded from the analysis in a stepwise manner when they fell outside the range where 95% of studies would be expected in the absence of bias and/or heterogeneity (Sterne et al., 2011). Post-hoc comparisons between subgroup effects were assessed using independent samples t-tests and potential moderator effects were assessed by meta-regression analysis. "
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    ABSTRACT: Non-pharmacological therapies, such as physical activity interventions, are an appealing alternative or add-on to current pharmacological treatment of cognitive symptoms in patients with dementia. In this meta-analysis, we investigated the effect of physical activity interventions on cognitive function in dementia patients, by synthesizing data from 802 patients included in 18 randomized control trials that applied a physical activity intervention with cognitive function as an outcome measure. Post-intervention standardized mean difference (SMD) scores were computed for each study, and combined into pooled effect sizes using random effects meta-analysis. The primary analysis yielded a positive overall effect of physical activity interventions on cognitive function (SMD[95% confidence interval] = 0.42[0.23;0.62], p < .01). Secondary analyses revealed that physical activity interventions were equally beneficial in patients with Alzheimer's disease (AD, SMD = 0.38[0.09;0.66], p < .01) and in patients with AD or a non-AD dementia diagnosis (SMD = 0.47[0.14;0.80], p < .01). Combined (i.e. aerobic and non-aerobic) exercise interventions (SMD = 0.59[0.32;0.86], p < .01) and aerobic-only exercise interventions (SMD = 0.41[0.05;0.76], p < .05) had a positive effect on cognition, while this association was absent for non-aerobic exercise interventions (SMD = -0.10[-0.38;0.19], p = .51). Finally, we found that interventions offered at both high frequency (SMD = 0.33[0.03;0.63], p < .05) and at low frequency (SMD = 0.64[0.39;0.89], p < .01) had a positive effect on cognitive function. This meta-analysis suggests that physical activity interventions positively influence cognitive function in patients with dementia. This beneficial effect was independent of the clinical diagnosis and the frequency of the intervention, and was driven by interventions that included aerobic exercise.
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    • "Sensitivity analysis was performed by assessing the contribution of individual studies to the summary effect estimate by excluding each study, one at a time, and computing meta-analysis estimates for the remaining studies . With only eight studies the power of testing for publication bias might be too low to distinguish chance from real asymmetry (Sterne et al., 2011), therefore funnel plot and Egger's regression analysis were omitted. "
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